The Ruxolitinib cost inebriometer consists of a large column that is flooded with the IA. As the flies succumb to the IA, they elute out the bottom of the column and are counted. The Mean Elution Time (MET) of the flies from the inebriometer column can then be computed, followed by standard statistical analysis (e.g., t-test). In order to verify consistent inebriometer function, control flies are simultaneously assayed

each day an experimental fly line is tested. In a genetic screen consisting of hundreds of experimental fly lines, this practice produces a large control dataset that presents a statistical problem: the Mean Elution Time when used with standard statistical tests is almost guaranteed to show a statistically significant difference

find more between the experimental fly line being assayed and the control, simply due to the large numbers of flies used. Furthermore, the median test is also almost guaranteed to have low power due to the large sample sizes used; ~ 150 flies per assay. Therefore another approach was needed for the analysis of the genetic screen data. Since the raw fly elution data from the inebriometer was sigmoidal in nature, Eq. (1) was fit to the data, followed by the estimation of what we term the ET50, which is analogous to EC50, but represents the time, rather than the concentration, at which 50% of the flies elute from the inebriometer column. The ET50 value was then used as a measure of the flies’ response to the IA. This is done by estimating the parameter c in Eq.  (1), where X is the time it takes for Y percent of flies to elute through the inebriometer, a and b are the minimum and maximum asymptotes of the percentage of flies eluting through the system (0 and 100, respectively), and d is the Hill slope. Repeated assessments of the ET50 have shown it to be an

efficient, direct and reliable indicator of the flies’ response to various IAs. Here we present two computer programs: 1) a macros-enabled, Solver-based Excel template developed in the Call laboratory, and 2) a stand-alone Windows based computer program, HEPB (Hill Equation with Prediction Band), designed and developed in the Gadagkar lab. The Microsoft Excel template with Visual Basic for Applications (VBA) macros uses the above formula and estimates Rebamipide the ET50 and the Hill slope (variables c and d in Eq.  (1)) for the inebriometer data. This template utilizes the Solver tool that comes with Excel. Solver is an optimization tool that uses techniques from Operations Research and has wide applicability including regression analysis and curve fitting. However, neither the availability nor the operation of Solver is straightforward to the average researcher more familiar with the graphic user interface (GUI) of most statistical software typically used to perform this type of analysis.